Brainport Digital Twin: Data Architecture and Technology internships
About the Brainport Digital Twin
The Brainport region faces major challenges such as energy transition, environmental problems and population growth. To tackle these challenges effectively, we need a data-driven approach. The Brainport Digital Twin aims to develop an integrated model of the Brainport region that can support various societal issues. With this digital twin, crucial decisions can be better informed and accurate models and data can be used.
Graduation projects
We offer several challenging graduation assignments for both Fontys students and students from Eindhoven University of Technology (TU/e). As a graduate student at the Brainport Digital Twin, you will have the opportunity to work on the following projects:
Fontys graduate students:
- Research and develop database architecture for combining various datasets in terms of time, geography, scope and quality.
- Investigate and develop visualization methods for multidimensional data to understand the impact of different choices.
- Investigate and implement AI methods for finding correlations between different application domains (e.g., air quality and traffic)
- Investigate and set up a governance structure for the Brainport Digital Twin.
TU/e graduate students:
- Setting up a scalable architecture for an integral, multidimensional digital twin of the Brainport region.
- Develop a data exchange protocol and architecture for the integration of diverse data in terms of time, geography, scope and quality
What we offer
- A unique opportunity to contribute to an innovative project that is shaping the future of the Brainport region.
- Working in a multidisciplinary and enthusiastic team of experts and professionals.
- The opportunity to use advanced technologies and state-of-the-art tools.
- Personal guidance and support during your graduation period.
- An internship allowance and possible support with research-related expenses.
Types of student project possible
Fontys: Internship, Graduation projects
TU/es: Bachelor project, Master internship, Master thesis
Types of study
- Architecture, Urbanism and Building Sciences
- Smart Cities
- Computer Science and Engineering
- ICT
- Data Science
- Artificial Intelligence
- Embedded Systems
- Industrial Engineering
Starting date/duration of student projects
To be determined after consultation 2023-2025
Contact
Paul Desmedt: p.a.c.desmedt@tue.nl